References

[1]
E. Tufte, The Visual Display of Quantitative Information. Graphics Press, 2001.
[2]
E. Tufte, Beautiful Evidence. Graphics Press, 2008.
[3]
C. Nussbaumer Knaflic, Storytelling with Data. Wiley, 2015.
[4]
W. Battle-Baptiste and B. Rusert, W.E.B. Du Bois’s Data Portraits: Visualizing Black America. Princeton Architectural Press, 2018.
[5]
S. Evergreen, Effective Data Visualization: the Right Chart for the Right Data, Second edition. Thousand Oaks, California: SAGE Publications, Inc.
[6]
A. Cairo, The Functional Art. New Riders, 2013.
[7]
A. Cairo, The Truthful Art. New Riders, 2016.
[8]
I. Meirelles, Design for Information : an Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations. Rockport, 2013.
[9]
N. Yau, Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. Wiley, 2011.
[10]
S. Wexler, J. Shaffer, and A. Cotgreave, The Big Book of Dashboards. Wiley, 2017.
[11]
M. Friendly and H. Wainer, A History of Data Visualization and Graphic Communication. Harvard University Press, 2021.
[12]
S. Rendgen, The Minard System : the complete statistical graphics of Charles-Joseph Minard, from the collection of the École Nationale des Ponts et Chaussées. Princeton Architectural Press, 2018.
[13]
Data Action Lab Podcast, Episode 3 - Minard’s March to Moscow, 2020.
[14]
Data Action Lab, Data Analysis Short Course, 2020.
[15]
R. A. Dahl, “Cause and effect in the study of politics,” in Cause and Effect, D. Lerner, Ed. New York: Free Press, 1965, pp. 75–98.
[16]
A. B. Hill, “The environment and disease: Association or causation?” Proc R Soc Med, vol. 58, no. 5, pp. 295–300, 1965.
[17]
Z. Gemignani and C. Gemignani, Data Fluency: Empowering Your Organization with Effective Data Communication. Wiley, 2014.
[18]
Z. Gemignani and C. Gemignani, A Guide to Creating Dashboards People Love to Use. (ebook).
[19]
Matillion.com, Poor use of dashboard software.”
[20]
Geckoboard.com, Two terrible dashboard examples.”
[21]
A. Knapp, How Much Does it Cost to Find a Higgs Boson? Forbes, Jul. 2012.
[22]
@DamianMingle, Twitter.
[23]
Leadership and Success, Leadership Journey: Richard Feynman.”
[24]
D. Dua and C. Graff, UCI machine learning repository.” University of California, Irvine, School of Information; Computer Sciences, 2017.
[25]
J. Strackeljan, COIL competition dataset.” ERUDIT, 1999.
[26]
T. Elms, Lexical Distance of European Languages. Etymologikon, 2008.
[27]
A. L. Yarbus, Eye Movements and Vision. Plenium Press, New York, 1967.
[28]
I. D. Foundation, Gestalt principles.”
[29]
S. Connor, Why some shapes are more pleasing to the eye than others,” The Independent, Dec. 2009.
[30]
Daydreaming Numbers, “Gestalt laws applied to data visualization.”
[31]
N. Cohn, Poll shows tight race for control of congress as class divide widens,” The New York Times, Jul. 2022.
[32]
Oxfam Ireland, “A year in review.”
[33]
[34]
L. V. Groeger, A big article about wee things,” ProPublica, Sep. 2014.
[35]
S. McCloud, Making Comics: Storytelling Secrets of Comics, Manga and Graphic Novels. Harper, 2006.
[36]
A. Zeileis, K. Hornik, and P. Murrell, Escaping RGBland: Selecting colors for statistical graphics,” Computational Statistics & Data Analysis, vol. 53, no. 9, pp. 3259–3270, 2009.
[37]
P. Tol, Colour schemes,” SRON Technical Note, vol. 9–2, no. 3.2, 2021.
[38]
K. L. Kelly, “22 colours of maximum contrast,” Color Eng., no. 6, 1965.
[39]
R. C. Carter and E. C. Carter, “High-contrast sets of colors,” Applied Optics, vol. 21, no. 16, pp. 2936–2939, Aug. 1982.
[40]
N. Duarte, Resonate: Present visual stories that transform audiences. Wiley, 2013.
[41]
L. Wilkinson, The Grammar of Graphics. Springer, 1999.
[42]
H. Wickham, “A layered grammar of graphics,” Journal of Computational and Graphical Statistics, no. 19, pp. 3–28, 2009.
[43]
[44]
R. A. Fisher, “The use of multiple measurements in taxonomic problems,” Annals of Eugenics, vol. 7, no. 7, pp. 179–188, 1936.
[45]
A. M. Raja, Penguins dataset overview - iris alternative,” Towards Data Science, Jun. 2020.
[46]
R. W. Massof, The Role of Braille in the Literacy of Blind and Visually Impaired Children,” Archives of Ophthalmology, vol. 127, no. 11, pp. 1530–1531, Nov. 2009.
[47]
[48]
A. Ofisher, Inclusive color palettes for the web,” Medium, May 2018.
[49]
[50]
[51]
I. Stewart, J. Cohen, and T. Pratchett, The Science of Discworld. Ebury Publishing, 2002.
[52]
[53]
I. Stewart, J. Cohen, and T. Pratchett, The Science of Discworld II: The Globe. Ebury Publishing, 2009.
[54]
M. W. Travis, What is a story, and where does it come from? The Wrap, 2011.
[55]
R. Dawkins, New York: Oxford University Press, 1976.
[56]
P. Gil, What is a meme? Lifewire, Dec. 2021.
[57]
O. Lancaster, Sign of the Times, 1939-1961. John Murray, London.
[58]
[59]
D. Scott, Lockdowns worked. Now what? Vox, May 2020.
[60]
[61]
P. Boily and J. Schellinck, Data Understanding, Data Analysis, and Data Science (course notes). Data Action Lab, 2022.
[62]
P. Dodds, Of (im)possible interest.”
[63]
Information is Beautiful, How do we get to zero greenhouse gas emissions? 2019.
[64]
C. Cote, Data Storytelling: How to Effectively Tell a Story with Data,” Harvard Business School Online’s Business Insights Blog, Nov. 2021.
[65]
C. Aschwanden and R. King, Science isn’t broken - it’s just a hell of a lot harder than we give it credit for,” FiveThiryEight.com, Aug. 2015.
[66]
R. Silberzahn et al., Many analysts, one data set: Making transparent how variations in analytic choices affect results,” Advances in Methods and Practices in Psychological Science, vol. 1, no. 3, pp. 337–356, 2018.
[67]
[68]
Center for Countering Digital Hate, Nov. 2021.
[69]
C. Douglas Golden, “CNN debunks its own misleading headline in the same story,” The Western Journal, May 2021.
[70]
J. Beckett, Statistician Abraham Wald’s counterintuitive insight saved lives,” War History Online, Jul. 2021.
[71]
P. E. Tetlock and D. Gardner, Superforecasting: The Art and Science of Prediction. Random House Business, 2016.
[72]
R. Fulford, The Triumph of Narrative: Storytelling in the Age of Mass Culture. House of Anansi Press Incorporated, 1999.
[73]
P. Ball, The Story Trap,” Aeon, Nov. 2015.
[74]
H. Mittelmark and S. Newman, How Not to Write a Novel: 200 Classic Mistakes and How to Avoid Them – a Misstep-by-Misstep Guide. HarperCollins, 2009.
[75]
J. Graham, Behind the FTC/YouTube influencer scandal,” USA Today, Jul. 2016.
[76]
This Day in History, The Payola scandal heats up,” History.com, Nov. 2009.
[77]
[78]
R. Barthes, “La mort de l’auteur,” Le Bruissement de la langue. Essais critiques IV, pp. 63–69, 1968.
[79]
I. Stewart and J. Cohen, Figments of Reality: The Evolution of the Curious Mind. Cambridge University Press, 1997.
[80]
Tvtropes.com.”
[81]
N. Gabler, Life: The Movie: How Entertainment Conquered Reality. Knopf Doubleday Publishing Group, 2011.
[82]
[83]
M. Bowles, C. Burns, J. Hixson, S. Austin Jennes, and K. Tellers, How to Tell a Story. Crown, 2022.
[84]
The soviet story by anecdote and humour,” World History, Mar. 2018.
[85]
Y. Gupta, Dashboards and data story-telling explained! Medium, Oct. 2020.
[86]
[87]
H. Rosling, The Health and Wealth of Nations. Gapminder Foundation, 2012.
[88]
[89]
S. McCloud, Understanding Comics: The Invisible Art. Harper, 1994.
[90]
K. R. Popper, The Logic of Scientific Discovery. University Press, 1959.
[91]
S. A. McLeod, “Karl Popper: Theory of falsification,” Simply Psychology, May 2020.
[92]
W. Van Orman Quine, Two Dogmas of Empiricism. Longmans, Green, 1951.
[93]
T. S. Kuhn, The Structure of Scientific Revolutions. University of Chicago Press, 1969.
[94]
Clayton High School, Crossing the line: Student sexual harassment & assault,” CHS Globe, Dec. 2011.
[95]
[96]
J. Dougherty and I. Ilyankou, Hands-On Data Visualization. O’Reilly, 2021.
[97]
E. Ricks, Declutter! (And question default settings),” Storytelling With Data Blog, May 2019.
[98]
N. Yau, FlowingData.
[99]
A. B. Jensen et al., “Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients,” Nature Communications, vol. 5, 2014, doi: 10.1038/ncomms5022.
[100]
Microsoft, Use DAX in Power BI Desktop.”
[101]
H. Wickham, D. Navarro, and T. Lin Pedersen, ggplot2: Elegant Graphics for Data Analysis. Springer, 2021.
[102]
[103]
H. Wickham, “Tidy data,” Journal of Statistical Software, vol. 59, no. 10, 2014.
[104]
W. Chang, R Graphics Cookbook. O’Reilly, 2013.
[105]
L. Torgo, Data Mining with R, 2nd ed. CRC Press, 2016.